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OverForge: Reasoning Through Strategies and Tactics Helps Cooperative Lifelong Adaptation
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Oana Madalina Fron, Ojas Shirekar, Chirag Raman

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ResearcharXiv cs.AI

OverForge: Reasoning Through Strategies and Tactics Helps Cooperative Lifelong Adaptation

arXiv:2609.39727v1 Announce Type: new Abstract: Cooperative language-model agents must coordinate over long horizons and adapt to changing environments and to partners with unfamiliar conventions, yet existing agents map observations to actions without separating persistent coordination strategies from their tactical execution. We introduce OverForge, a training-free hierarchical architecture that separates strategic reasoning over roles and divisions of labour from tactical reasoning over actions within each agent's private, partner-conditioned world model. A metacognitive Prefrontal Cortex Module couples the two levels by forming strategy-action branches, imagining their consequences with a forward model, and committing when confident. In OvercookedV2, OverForge delivers 7 soups in a connected kitchen versus 3 for each flat LLM baseline, retains agreed roles, and adopts roles proposed by unfamiliar partners. Ablations and a fixed-strategy probe show that persistent strategies guide tactical adaptation while each reasoning level contributes to coordination. Memory restarts show that cross-episode partner knowledge supports task performance and partner prediction, linking the hierarchy to continual adaptation.

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This story was published by arXiv cs.AI and written by Oana Madalina Fron, Ojas Shirekar, Chirag Raman. SyncAI.news shows a preview; the complete article is on the publisher's site.

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